2007 | OriginalPaper | Chapter
Dialogue Management for Intelligent TV Based on Statistical Learning Method
Authors : Hyo-Jung Oh, Chung-Hee Lee, Yi-Gyu Hwang, Myung-Gil Jang
Published in: Text, Speech and Dialogue
Publisher: Springer Berlin Heidelberg
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In this paper, we introduce a practical spoken dialogue interface for intelligent TV based on goal-oriented dialogue modeling. It uses a frame structure for representing the user intention and determining the next action. To analyze discourse context, we employ several statistical learning techniques and device an incremental dialogue strategy learning method from training corpus. By empirical experiments, we demonstrated the efficiency of the proposed system. In case of the subjective evaluation, we obtained 73% user satisfaction ratio, while the objective evaluation result was over 90% in case of a restricted situation for commercialization.